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Mendeley readers
Attention Score in Context
| Title |
Genetic basis of qualitative and quantitative resistance to powdery mildew in wheat: from consensus regions to candidate genes
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-562 |
| Pubmed ID | |
| Authors |
Daniela Marone, Maria A Russo, Giovanni Laidò, Pasquale De Vita, Roberto Papa, Antonio Blanco, Agata Gadaleta, Diego Rubiales, Anna M Mastrangelo |
| Abstract |
Powdery mildew (Blumeria graminis f. sp. tritici) is one of the most damaging diseases of wheat. The objective of this study was to identify the wheat genomic regions that are involved in the control of powdery mildew resistance through a quantitative trait loci (QTL) meta-analysis approach. This meta-analysis allows the use of collected QTL data from different published studies to obtain consensus QTL across different genetic backgrounds, thus providing a better definition of the regions responsible for the trait, and the possibility to obtain molecular markers that will be suitable for marker-assisted selection. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 13 | 17% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Professor | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Unspecified | 1 | 1% |
| Environmental Science | 1 | 1% |
| Neuroscience | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 19 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2014.
All research outputs
#14,761,535
of 22,723,682 outputs
Outputs from BMC Genomics
#6,116
of 10,626 outputs
Outputs of similar age
#117,954
of 198,426 outputs
Outputs of similar age from BMC Genomics
#71
of 138 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 198,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.